自举提升算法中的高阶高斯核

British Journal of Applied Science and Technology Pub Date : 2013-05-15 DOI:10.5987/UJ-NJSE.17.112.1

C. Ishiekwene, B. A. Afere

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引用次数: 0

摘要

自举增强算法是一种减少偏置的算法。研究了在核密度估计中采用高阶高斯核的自举增强算法。该算法采用高阶高斯核代替常规的固定核。将该方案与现有的固定核方法进行了比较，结果表明该方案具有较好的效果。

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Higher-order Gaussian kernel in bootstrap boosting algorithm

The bootstrap boosting algorithm is a bias reduction scheme. The adoption of higher-order Gaussian kernel in a bootstrap boosting algorithm in kernel density estimation was investigated. The algorithm used the higher-order Gaussian kernel instead of the regular fixed kernels. A comparison of the scheme with existing fixed kernel methods indicated the results were better.

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来源期刊

British Journal of Applied Science and Technology

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